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chat-bison-32k@002 Cost Calculator - Vertex AI

Calculate the cost of using chat-bison-32k@002 from Vertex AI for your AI applications

chat-bison-32k@002 Cost Calculator

Mode: Chat

Max: 32,000 tokens

Max: 8,192 tokens

Cost Breakdown

Input Cost$0.00012500
Output Cost$0.00012500
Total Cost$0.00025000

Pricing Details

Input: $0.0000001250 per token
Output: $0.0000001250 per token
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Model Specifications

Limits

Max Input Tokens32,000
Max Output Tokens8,192
Max Tokens8,192

About chat-bison-32k@002

chat-bison-32k@002 is a powerful chat AI model offered by Vertex AI. This comprehensive guide provides detailed pricing information, technical specifications, and capabilities to help you understand the costs and features of using chat-bison-32k@002 in your applications.

Pricing Information

Input Cost$0.13 per 1M tokens
Output Cost$0.13 per 1M tokens

Note: Use the interactive calculator above to estimate costs for your specific usage patterns.

Technical Specifications

Maximum Input Tokens32,000
Maximum Output Tokens8,192
Maximum Total Tokens8,192

Pro Tip

Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 32,000 input tokens. The maximum output length is 8,192 tokens.

When should you use chat-bison-32k@002?

chat-bison-32k@002 is best suited for the following scenarios:

  • General-purpose chat and text generation workloads
When should you avoid chat-bison-32k@002?
  • Complex multi-step reasoning or planning tasks
  • Applications requiring image, audio, or multimodal inputs
  • Very large documents or long conversational histories
How does chat-bison-32k@002 compare to similar models?

This model offers competitive input token pricing, making it cost-effective for applications that require extensive context or frequent input processing.

Understanding chat-bison-32k@002 pricing
  • chat-bison-32k@002 is a general-purpose AI model provided by Vertex AI.
  • Input tokens are priced at $0.13 per 1M tokens.
  • Output tokens are priced at $0.13 per 1M tokens.
  • The model supports a maximum input capacity of 32,000 tokens.
  • Maximum output length is 8,192 tokens.
  • For this model, input tokens are more expensive than output tokens, so optimizing your prompts can help manage costs.
  • Vertex AI offers chat-bison-32k@002 for general-purpose AI workloads — general-purpose AI workloads.

How to Use This Calculator

Step 1: Enter the number of input tokens you expect to use. Input tokens include your prompt, system messages, and any context you provide to the model.

Step 2: Specify the number of output tokens you anticipate. Output tokens are the text generated by the model in response to your input.

Step 3: Review the cost breakdown to see the total estimated cost for your usage. The calculator automatically updates as you adjust the token counts.